65 automatic-control "https:" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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through Intelligent Optimization and Predictive Control at SIT’s Punggol campus. Under this job title, you will be required to establish a test bed in SIT’s Punggol campus building, benchmarking of current
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-to-Grid Integration through Intelligent Optimization and Predictive Control at SIT’s Punggol campus. Under this job title, you will be required to establish a test bed in SIT’s Punggol campus building
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collaboration with IHL and an industry partner. where you will be part of the research team to develop and demonstrate Building-to-Grid Integration through Intelligent Optimization and Predictive Control at SIT’s
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twins and real-time process monitoring and control; process analytical technology (PAT); process intensification and sustainability. Where to apply Website https://www.timeshighereducation.com/unijobs
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the BCA, focusing on the development of a power grid interactive building or cluster of buildings. The role involves designing and implementing monitoring, visualization and control system to coordinate
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environment such as Matlab/Simulink. Design and develop an intelligent energy management system for the e-vessel microgrid for coordinated control of multiple energy sources considering cost, carbon, and
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: Serve as the process lead engineer in both design, engineering and testing of Pyrolysis Reactor Systems Involve in developing the process control narrative To generate project specifications, design
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standards through rigorous testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud-based services). Carry out Risk Assessment, and
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packages. Maintain high software engineering standards through rigorous testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud
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software architecture. Drive research and development of algorithms for natural language understanding, structured command generation, and domain-specific model adaptation or fine-tuning. Integrate NLP and